Package

ksb.csle.didentification

utilities

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package utilities

Visibility
  1. Public
  2. All

Value Members

  1. object AttributeManager

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    This object manages the information about the attributes of columns.

    This object manages the information about the attributes of columns. It extracts some attribute information from given variables.

  2. object EquivalClassManager

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    This object should be modified considerably.

    This object should be modified considerably. This object is just made to verify the generalization function and syntatic anonymity (klt).

    This object provides some functions to describe the equivalence class. Note that all quasi-identifiers belonging to a specific equivalence class should be same.

  3. object FileManager

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    This object provides the function to make a dataframe from the file info.

    This object provides the function to make a dataframe from the file info. The file location can be given by the form of directory or URL.

  4. object FrequencyManager

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    This object manages the frequency of values in the specified column.

  5. object GeneralizeManager

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    This object provides some functions to generalize the dataframe.

    This object provides some functions to generalize the dataframe. In order to get generalized dataframe, should specify the column of dataframe to apply the generalization function, and its possible maximum generalization step and desired generalization step.

  6. object HierarchyManager

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    This object manages hierarchical information of column attributes

  7. object LatticeManager

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    This trait manages lattice entry information.

    This trait manages lattice entry information. Lattice entry indicates how the algorithm generalizes the columns of quasi-identifiers. For example, if the quasi-identifier is column 1, 2, and 3, the lattice manager manages three lattice values where each lattice value indicate

  8. object LayoutManager

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    This object manages the layout information about columns in dataframe.

  9. object MergingDataframe

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    This trait provides the statistics related functions such as min, max, avg, std, and # of records.

  10. object OutlierManager extends Statistics with MethodString

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    This object provides some functions to manage outliers.

  11. object RandomGenerator

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    This object provides some functions to make random strings.

  12. object SelectDataframe

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    This trait provides the statistics related functions such as min, max, avg, std, and # of records.

  13. object StatisticManager extends Statistics with MethodString

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    This object provides some functions to manage statistic information.

  14. object SuppressingManager

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  15. object SwappingManager

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    This object provides some method to swap the records.

Ungrouped